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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,855 ratings

About the Course

In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. This course teaches you about the popular tools in Data Science and how to use them. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will understand what each tool is used for, what programming languages they can execute, their features and limitations. This course gives plenty of hands-on experience in order to develop skills for working with these Data Science Tools. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R, or Scala. Towards the end the course, you will create a final project with a Jupyter Notebook. You will demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Top reviews

FC

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It would be nice if you could update the material since some tools have changed either name or the way they look compared to the videos/images. Very good material though, I enjoyed the course much.

RR

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To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!

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901 - 925 of 4,722 Reviews for Tools for Data Science

By Philip S B

Aug 19, 2021

A very well-designed, adequately-resourced and engagingly-delivered course!

By Edward R A

Mar 12, 2021

A hole new world....well tough ... needs an enormous amount of exercises...

By Enrique P

Apr 2, 2020

Simple, effective and quick overview of the great tools for data analytics.

By Vibhor G

Jan 15, 2020

Best Course for starting and have a look at the basics of coding languages.

By Venkatasai M G

Jan 6, 2020

Good course for better exposure in open source tools used for data science.

By Stephen H

Aug 9, 2019

Easy to learn and great tools that I had no idea existed until this course!

By Ozan A

May 20, 2019

It gave a good basis on what kind of tools are being used for data science.

By Chris G

Jan 2, 2019

Excellent introduction to relevant open source tools used in Data Science.

By Ramon M

Sep 9, 2024

A useful course. It helps solidifying the concepts needed for data science

By Devkumar B

Apr 27, 2023

The course was very helpful for me to understand the tool of data science.

By Forster J S

Jun 22, 2022

I really enjoyed it. It was fun with the basics and all the foundamentals.

By PRABHAT C D

Jul 19, 2021

Amazing Course. It was a bit brief but very nice for beginners. Loved it.

By Attary A

Dec 6, 2020

great course and a great introduction to the tools that data scientist use

By BURHAN Y

Sep 15, 2020

The course was very instructive! Thanks a lot for your effort and time! :)

By Ogbonnaya O

Jul 15, 2020

Great, I now have some insights of the various tools used in data science

By Sanchit G

Jul 7, 2020

The course is great for having a hands-on experience in IBM Watson Studio.

By Surega A

Apr 3, 2020

It's really a good learning experience. They teach each step methodically.

By Oritseweyinmi H A

Apr 2, 2020

Great introduction to Jupyter Notebooks, Apache Spark and Apache Zeppelin!

By Igor L

Mar 23, 2020

Great introductory course to free open source tools when working with Data

By chaitra M P

Jan 11, 2020

Some part of the video did not match the current date practical experience

By SG

Jan 6, 2020

It's an interesting course about main tools for beginners data scientists.

By Akash V

Jul 10, 2019

Thank for providing me knowledge about open source tools for data science.

By Francisco A

May 16, 2019

Useful course to get the most used tool for Data Science, very recommended

By David G

Mar 4, 2019

Good intro but video screens no longer match the IBM Watson Studio screens

By Angel C

Jul 17, 2024

Un buen segundo curso, necesario antes de entrar en la materia de verdad.